As soon as Decembeer started, Google went and dropped Gemini AI as a potential ChatGPT killer.
What is Google Gemini AI?
Gemini is multimodal AI, which means Gemini is not limited to text-only, visual-only, or audio-only modalities; it can seamlessly have a conversation across modalities and give you the best possible response.
Gemini is a brand-new chatbot with the AI revolution that Google developed with the intention of outperforming ChatGPT in terms of features and functionality.
Google said it will start on December 13, 2023. Enterprise customers and developers can access Gemini Pro via the Gemini API Studio (for free) or Google Cloud Vertex AI.
The Gemini approach to multi-modality is all the kind of things you want an artificial intelligence system to do, and these are capabilities that haven’t really existed in computers before.
Jeff Dean (Chief Scientist, Google DeepMind and Google Research)
Google sets Gemini into various versions; Gemini 1.0 is the first version, which has three different sizes.
- Gemini Ultra: The most powerful model, it achieves cutting-edge results on a variety of extremely difficult tasks, such as multimodal and reasoning tasks. The Gemini architecture makes it efficiently serviceable at scale using TPU accelerators.
- Gemini Pro: A model that is optimized for performance in terms of both cost and latency and that does a lot of different jobs well. This model is very good at thinking and can do a lot of different things.
- Gemini Nano: The most efficient model, made to run on the gadget itself. Nano was trained in two versions, Nano-1 with parameters of 1.8B and Nano-2 with parameters of 3.25B, to work with low- and high-memory devices, respectively. It learns by taking lessons from bigger Gemini models. It has been quantized to 4 bits for deployment and has the best speed in its class.
How powerful is the Google’s Gemini AI?
Google has been putting Gemini models through a lot of tests and looking at how well they do on many different tasks. Gemini Ultra achieved a remarkable score of 90.0% on the MMLU (massive multitask language understanding) test, which evaluates global knowledge and problem-solving abilities across 57 topics like arithmetic, physics, history, law, medicine, and ethics. This makes it the first model to surpass human specialists on the test.
How do I use Gemini AI for free?
You can have free access to Gemini AI through Google AI Studio, where you can enjoy Gemini Pro and Gemini Pro Vision. It meets the majority of requirements for app development. Developers working with Vertex AI can test out these models for free until they’re available to the public in the new year. After that, both Google AI Studio and Vertex AI will charge you per picture or per thousand characters.
How do I access Google Gemini AI?
Google Gemini AI can be accessed through the Google AI Studio. For that, you need to create an account at https://makersuite.google.com/ You will be asked for two options: using Google AI Studio for prompts or for developers. You need to create an API key to access Google Gemini AI.
The prompt version is the same as the ChatGPT prompt with more options; you need to write a prompt, and Gemini will give the best possible outcomes.
For developers, you can use the API to integrate Gemini AI into your own applications and leverage its capabilities. To do that, you need to create an API key.
After creating an API key, developers can access the full potential of Gemini AI in their applications.
Also check out: How to make ChatGPT content undetectable
Google claims that the 60 requests per minute “free quota” available at launch is “20x more than other free offerings.” Google will use the de-identified data from your Google account and API key in that free input or output to improve the model. It “may be within the reach of experienced reviewers.”
Vertex AI from Google Cloud is presented as an upgraded solution with additional integrations and control. Utilizing your data, you may create Gemini-powered search and conversational agents as a “fully managed AI platform.”
Furthermore, Google will not use “models on inputs or outputs from Google Cloud customers” for training. Up until the beginning of the following year, when Vertex AI becomes generally accessible, Gemini access will be free.
Pricing for Vertex AI and Google AI Studio will then be $0.0005 per 1K characters, while input will be $0.0025 per image or $0.00025 per 1K characters. According to Google, its potent TPUs are what make those prices feasible.
Gemini AI: Safety and Responsibility
Google says we develop proactive policies and adapt those to the unique considerations of multimodal capabilities, which allows us to test for new risks like cybersecurity and considerations like bias and toxicity, which are the limitations of ChatGPT.
Collaboration across industries and expertise is needed to bring in different experts to give their perspectives on how the model is performing, but it also involves getting their advice. They are working with MLCommons to develop extensive benchmarks so that they can use them both to test models within Google and across the industry. And they are creating cross-industry collaborations via frameworks like SAIF, the secure AI framework.
Conclusion
There isn’t a huge difference between Gemini and GPT-4 in terms of features, but the multimodal inputs make Gemini stand out.
